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- Tasks: Develop key components for a cutting-edge Risk & PnL engine.
- Company: Leading commodity trader based in London with a strong reputation.
- Benefits: Competitive salary of circa £130k plus fantastic bonuses.
- Other info: Opportunity to work on high-performance algorithms and large-scale computations.
- Why this job: Join a dynamic team and make a significant impact in risk management.
- Qualifications: 5+ years C++ experience and familiarity with Python required.
The predicted salary is between 130000 - 130000 £ per year.
We are working with a leading commodity trader based in London who are looking for a Quantitative Developer to join their Risk Systems Team. As you will be responsible for developing key components of the new Risk & PnL engine, they require a candidate with:
- 5+ years experience working commercially with C++
- Familiarity with Python
- Proven experience implementing high-performance algorithms and large-scale grid computations.
In return the company offers a base of circa 130k and fantastic bonuses too.
Quantitative Developer in Slough employer: RJC Group
Contact Detail:
RJC Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at the company you're eyeing. A friendly chat can sometimes lead to insider info or even a referral.
✨Tip Number 2
Brush up on your coding skills! Since you’ll be working with C++ and Python, make sure you’re comfortable with both. Consider doing some side projects or contributing to open-source to showcase your skills.
✨Tip Number 3
Prepare for technical interviews! Practice coding challenges and algorithm questions that are relevant to quantitative development. We recommend using platforms that focus on high-performance algorithms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Quantitative Developer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5+ years of experience with C++. We want to see how you've implemented high-performance algorithms and tackled large-scale grid computations in your previous roles.
Showcase Your Python Skills: Even though C++ is key, don’t forget to mention your familiarity with Python. Include any relevant projects or experiences that demonstrate your coding prowess in both languages.
Be Specific About Your Achievements: When detailing your past work, be specific about the impact you made. Use numbers and examples to illustrate how your contributions improved systems or processes—this will catch our eye!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with a leading commodity trader.
How to prepare for a job interview at RJC Group
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss your past projects and how you've implemented high-performance algorithms. They’ll likely ask you to solve coding problems on the spot, so practice writing clean, efficient code.
✨Show Off Your Python Skills
While C++ is crucial, don’t forget about Python! Be ready to explain how you’ve used Python in your previous roles, especially in relation to data analysis or algorithm development. Having examples of how you’ve integrated Python with C++ can really set you apart.
✨Understand Risk Systems
Familiarise yourself with risk management concepts and how they apply to trading. Knowing the basics of Risk & PnL engines will help you answer questions more effectively and show that you’re genuinely interested in the role and the company’s operations.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities. Practice explaining your thought process clearly and concisely. They might also want to know about your experience with large-scale grid computations, so have some examples ready to discuss.